Ruchir Rastogi

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 8 papers. Top paper: “Cross-protein transfer learning substantially improves disease variant prediction”.

Cross-protein transfer learning substantially improves disease variant prediction

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.15.516532

N/A

0.345DataRank · unranked

9 citations

Chengzhong Ye, Carlos Albors, Ruchir Rastogi, Antoine Koehl, Nilah M. Ioannidis +2 more

Single-Nucleus Analysis of Human White Adipose Tissue Reveals Adipocyte Subsets with Distinct Metabolic Profiles

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.09.14.673351

N/A

0.208DataRank · unranked

3 citations

Adhideb Ghosh, Sean D. Kodani, Xavier Caubit, Laurent Fasano, Waqar Ali +13 more

Cross-protein transfer learning substantially improves disease variant prediction

Genome biology(2023)10.1186/s13059-023-03024-6

N/A

0DataRank · unranked

72 citations

Chengzhong Ye, Carlos Albors, Ruchir Rastogi, Antoine Koehl, Nilah M. Ioannidis +2 more

X-CAP improves pathogenicity prediction of stopgain variants

Genome Medicine(2022)10.1186/s13073-022-01078-y

N/A

0DataRank · unranked

4 citations

Peter D. Stenson, D.N. Cooper, Gill Bejerano, Ruchir Rastogi

Characterizing uncertainty in predictions of genomic sequence-to-activity models

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.12.21.572730

N/A

0DataRank · unranked

4 citations

Ruchir Rastogi, Pooja Kathail, Richard W. Shuai, Nilah M. Ioannidis, Ayesha Bajwa

Critical assessment of missense variant effect predictors on disease-relevant variant data

Human Genetics(2025)10.1007/s00439-025-02732-2

N/A

0DataRank · unranked

21 citations

Ryan Chung, Sindy Li, Chang Li, Kyoungyeul Lee, Junwoo Woo +31 more

Personal transcriptome variation is poorly explained by current genomic deep learning models

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.30.547100

N/A

0DataRank · unranked

18 citations

Richard W. Shuai, Parth Baokar, Ryan Chung, Ruchir Rastogi, Pooja Kathail +2 more

Personal transcriptome variation is poorly explained by current genomic deep learning models

Nature Genetics(2023)10.1038/s41588-023-01574-w

N/A

0DataRank · unranked

110 citations

Richard W. Shuai, Parth Baokar, Ryan Chung, Ruchir Rastogi, Pooja Kathail +2 more